{"uid":"cap_2xuN1dADxv_hqIVMPzmI-","slug":"test-coverage-numeric-distribution-and-missing-value-fill-d8d6c4b2","name":"Test Coverage Numeric Distribution and Missing-Value Fill","description":"Test coverage — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied test coverage records (covered_lines, total_lines). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-software-10-085?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","covered_lines","total_lines"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"component":{"type":"string","default":"","maxLength":80},"total_lines":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"covered_lines":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","total_lines":1,"covered_lines":10},{"date":"2026-10-02","row_id":"row-2","component":"group-b","total_lines":2,"covered_lines":20},{"date":"2026-10-03","row_id":"row-3","component":"group-a","total_lines":3,"covered_lines":15},{"date":"2026-10-04","row_id":"row-4","component":"group-b","total_lines":4,"covered_lines":30}],"maxItems":200,"minItems":1},"field":{"enum":["covered_lines","total_lines"],"type":"string","default":"covered_lines"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_PCcHsQ5g8g4iyWfFDpNA5","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes numeric distribution statistics and fills missing values for test coverage records (covered_lines, total_lines) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Analyze the numeric distribution of covered_lines in my test coverage data and fill any missing values using median — here are 4 rows: row-1 for group-a on 2026-10-01 with covered_lines=10 and total_lines=1, row-2 for group-b on 2026-10-02 with covered_lines=20 and total_lines=2, row-3 for group-a on 2026-10-03 with covered_lines=15 and total_lines=3, row-4 for group-b on 2026-10-04 with covered_lines=null and total_lines=4.","exampleUseCases":[{"title":"QA pipeline coverage distribution check","prompt":"I have 50 test coverage records by component and date — can you compute the numeric distribution of covered_lines across them and fill any null values using the median? I'll paste the rows now."},{"title":"Impute missing total_lines for CI report","prompt":"Some of my CI test records have missing total_lines values. Can you fill those in using zero and also give me a distribution summary of total_lines across all 120 rows?"},{"title":"Sprint coverage gap analysis","prompt":"Here are 80 test coverage records from our last sprint across components group-a and group-b — analyze the distribution of covered_lines and use mean imputation for any missing entries so I can spot outliers."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary of the selected field (covered_lines or total_lines) across all supplied rows, and (2) a missing-value fill report showing which rows had nulls and what values were substituted using the chosen method (zero, mean, or median). No external data is fetched; all analysis is performed locally on the submitted records.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — request truncated or rejected","Invalid date format (not YYYY-MM-DD) — validation error","Unknown fill method value outside zero/mean/median enum — error","Malformed row missing required fields (row_id, component, date) — validation error","All values null for the selected field — distribution report may be empty or degenerate"],"whenToPreferThis":"Choose this endpoint when you need both a numeric distribution analysis and missing-value imputation for test coverage metrics (covered_lines or total_lines) in a single cheap call ($0.01 USDC). Ideal for CI/CD pipelines, QA dashboards, or sprint retrospectives where you have up to 200 coverage records and want offline, deterministic statistical summaries without hitting external prediction or lookup services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:13.898Z","isFirstParty":false,"canonicalSlug":"test-coverage-numeric-distribution-and-missing-value-fill-d8d6c4b2"}